Technologies for producing efficient investigation routes for identifying gas leak locations include a mobile compute device. The mobile compute device includes circuitry configured to obtain route data indicative of a route to be traveled along to identify a location of a gas leak. The circuitry is also configured to present the route data to a user to guide the user along the route.

A method is provided for detecting and quantifying leaks in a gas network under pressure or vacuum. The gas network includes one or more sources of compressed gas or vacuum; one or more consumers or consumer areas of compressed gas or vacuum applications; pipelines or a network of pipelines to transport the gas or vacuum; a plurality of sensors which determine one or a plurality of physical parameters of the gas in the gas network. The gas network has controllable or adjustable relief valves and the method involves a training phase and an operational phase.

A method includes providing a length of pipeline that has a housing defining a central bore extending the length of the pipe and a space formed within the housing and extending the length of the pipe. At least one condition within the space is continuously monitored within the space to detect in real time if a change in the housing occurs.

This invention relates to a pipeline-inspecting device. More specifically, the invention relates to a pipeline-inspecting device capable of at least (i) detecting defects in the lining of the pipeline; (ii) visually marking each of the defects in the pipeline; and (iii) recording the location of each of the defects along such pipeline in a single pass. The pipeline-inspecting device includes a primary body (20) being operably movable along a pipeline, fitted with a plurality of primary contacts (40) extending radially from the primary body (20) for operably riding in contact with an internal surface of the pipeline, the contacts (40) being spaced circumferentially relative to one another through 360 degrees about the primary body (20). The device further includes one or more secondary contacts (116) for operably connecting the device to the pipeline and a plurality of marking members (66) associated with each of the respective contacts (40) for visually marking the internal surface of the pipeline in the vicinity of defects detected therein, wherein the defects are operably detected by monitoring an electrical condition change between the primary (40) and secondary contacts (116). In use, and in the event of an electrical condition change arising between one of the primary contacts (40) and the secondary contact (116), the marking member associated with that respective primary contact (40) marks the internal surface of the pipeline in the vicinity of the defect detected by such primary contact (40).

The present disclosure relates to a wireless communication system and communication method for a cableless detection robot for a gas pipeline. The wireless communication system includes an antenna assembly, a repeater assembly and a repeater retracting device, wherein the antenna assembly is fixed to the gas pipeline and extends into the interior of the gas pipeline, the repeater assembly is provided with at least one set, and the repeater retracting device is connected to the robot and used for retracting the repeater assembly along the gas pipeline, the antenna assembly, the repeater assembly and the robot are connected through a wireless signal having a wavelength less than 3.41r, wherein r represents the radius of the gas pipeline. The wireless communication system has the advantages of simple structure, low cost, convenient use, safety and reliability, and solves the problem that the automatic force cableless detection robot cannot perform a long-distance internal detection operation due to shielding wireless signals by the pipeline. The communication method has the advantages of easy implementation, convenient control and reliable communication.

A method is provided for non-intrusively determining cross-sectional variation of a fluidic channel. The method includes creating a pressure pulse in a fluidic channel using a hammer to strike an external surface of a fluidic channel. The method also includes sensing, by one or more sensors, reflections of the pressure pulse; and obtaining, from the one or more sensors, a measured pressure profile based on the sensed reflections of the pressure pulse. A forward model of cross-sectional variation of the fluidic channel is generated based on a baseline simulation. Using the forward model, a simulated pressure profile is generated. Using the measured pressure profile and the simulated pressure profile, an error is determined. When the error is outside a predetermined threshold, the forward model is updated based on the error. An estimate of cross-sectional variation of the fluidic channel based on the forward model is displayed.

A method and system for analysing a condition of a pipeline in real time is disclosed. The method and system comprise generating a transient pressure wave in fluid carried along the pipeline and detecting a transient pressure wave interaction signal responsive to the transient pressure wave where the pressure wave interaction signal has a time duration corresponding to a region of interest of the Generate Transient Pressure pipeline. The method and system further includes processing the transient pressure wave interaction signal to analyse the region of interest of the pipeline.

A method and system for analysing a condition of a pipeline in real time is disclosed. The method and system comprise generating a transient pressure wave in fluid carried along the pipeline and detecting a transient pressure wave interaction signal responsive to the transient pressure wave where the pressure wave interaction signal has a time duration corresponding to a region of interest of the Generate Transient Pressure pipeline. The method and system further includes processing the transient pressure wave interaction signal to analyse the region of interest of the pipeline.

In a system and method for supervisory management of fluid pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform allowing simultaneous execution of commands at all control points, significantly increasing the speed at which an optimal set-point can be achieved in comparison to manual entry of commands. The pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform control system has a cascade control configuration that can operate in conjunction with existing pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform protection systems. The control room operator can activate automatic operation via the supervisory management system, and can subsequently command that the system switch back to manual control instantaneously. Dynamic models predict operating conditions of pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform processes subject to constraints on pressure and other operating parameters. A steady-state optimization layer, operating in conjunction with real-time control, determines optimal states without operator intervention.

In a system and method for supervisory management of fluid pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform allowing simultaneous execution of commands at all control points, significantly increasing the speed at which an optimal set-point can be achieved in comparison to manual entry of commands. The pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform control system has a cascade control configuration that can operate in conjunction with existing pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform protection systems. The control room operator can activate automatic operation via the supervisory management system, and can subsequently command that the system switch back to manual control instantaneously. Dynamic models predict operating conditions of pipeline/LNG plant/gas plant/refinery/offshore oil and gas platform processes subject to constraints on pressure and other operating parameters. A steady-state optimization layer, operating in conjunction with real-time control, determines optimal states without operator intervention.